ISO 42001: Responsible AI Governance Certification
Lead on responsible AI - ISO 42001 certification demonstrates that your AI systems are governed, auditable, and trustworthy.
Why ISO 42001 Is the Foundation of Responsible AI
ISO/IEC 42001 is the world's first international standard for Artificial Intelligence Management Systems (AIMS). Published in December 2023, it provides a framework for organizations that develop, provide, or use AI systems to establish responsible AI governance - addressing the unique risks of AI: algorithmic bias, opacity, accountability gaps, and the evolving regulatory landscape from the EU AI Act to emerging US executive orders.
Like ISO 27001, ISO 42001 is a management system standard - meaning it is not a prescriptive checklist of AI controls but a structured framework for identifying your AI-related risks and managing them systematically. It covers AI system lifecycle management, impact assessments, transparency and explainability obligations, human oversight mechanisms, and data governance requirements specific to AI training and deployment.
Organizations that build, deploy, or procure AI at scale are facing increasing scrutiny from customers, regulators, and boards. ISO 42001 certification provides a defensible, internationally recognized credential that your AI program has been independently assessed against a rigorous standard. For companies in regulated industries, government contracting, or enterprise B2B markets, early adoption of ISO 42001 creates a competitive advantage that will only grow as AI regulations tighten.
Our Approach
Assess
AI system inventory and risk classification: map all AI systems your organization develops, deploys, or procures. Assess each against the ISO 42001 risk framework - considering intended use, potential harms, affected populations, and regulatory context (EU AI Act risk categories, sector-specific requirements). Gap assessment of your current AI governance practices against the standard.
Remediate
Implement AI-specific controls: AI impact assessment processes, model cards and system documentation standards, bias testing and fairness metrics, human oversight mechanisms for high-risk AI decisions, incident management for AI failures, and data governance controls for AI training datasets - including data provenance and quality management.
Implement
Establish your AI Management System documentation: AI policy, AI risk register, AI impact assessment procedures, roles and responsibilities for AI governance (including AI Risk Owner assignments), supplier assessment criteria for AI components, and monitoring processes for deployed AI systems. Integrate AIMS into your existing ISO 27001 ISMS if applicable.
Certify
Prepare for and manage Stage 1 and Stage 2 certification audits with an accredited certification body. As an emerging standard, auditor expertise varies - Dark Rock selects certification bodies with demonstrated ISO 42001 competency, prepares your technical and governance teams for AI-specific audit questions, and supports post-certification surveillance readiness.
What You Get
- AI system inventory and risk classification (including EU AI Act mapping)
- ISO 42001 gap assessment report
- AI Management System (AIMS) documentation suite
- AI impact assessment process and completed assessments for in-scope systems
- Model documentation standards (model cards, system cards) for AI transparency
- Bias and fairness testing framework and test results
- AI incident management procedures
- ISO 42001 certification audit support and post-certification monitoring program
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First published - early ISO 42001 adopters establish AI governance leadership before regulations mandate it
